MacBook Pro (13-inch, 2022)
Geekbench AI Score
3326
Single Precision Score
6020
Half Precision Score
4886
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Origem |
| Upload Date | November 26 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14981
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12831
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10938
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18106
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28130
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23416
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6847
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6772
117.0 IPS |
